To Örebro University

BACKGROUND: Recently a lipidomics approach was able to identify perturbed fatty acyl chain (FAC) and sphingolipid moieties that could stratify patients according to the severity of coronary calcification, a form of subclinical atherosclerosis. Nevertheless, these findings have not yet been reproduced before generalising their application. The aim of this study was to evaluate the reproducibility of lipidomics approaches by replicating previous lipidomic findings in groups of patients with calcific coronary artery disease (CCAD).

METHODS: Patients were separated into the following groups based on their calcium score (CS); no calcification (CS: 0; n=26), mild calcification (CS: 1-250; n=27) and severe calcification (CS: >250; n=17). Two serum samples were collected from each patient and used for comparative analyses by 2 different laboratories, in different countries and time points using liquid chromatography coupled to mass spectrometry untargeted lipidomics methods.

RESULTS: Six identical metabolites differentiated patients with severe coronary artery calcification from those with no calcification were found by both laboratories independently. Additionally, relative intensities from the two analyses demonstrated high correlation coefficients. Phosphatidylcholine moieties with 18-carbon FAC were identified in lower intensities and 20:4 FAC in higher intensities in the serum of diseased group. Moreover, 3 common sphingomyelins were detected.

CONCLUSION: This is the first interlaboratory reproducibility study utilising lipidomics applications in general and specifically in patients with CCAD. Lipid profiling applications in patients with CCAD are very reproducible in highly specialised and experienced laboratories and could be applied in clinical practice in order to spare patients diagnostic radiation.

Purpose: Disturbed metabolism of cholesterol and triacylglycerols (TGs) carries increased risk for coronary artery calcification (CAC). However, the exact relationship between individual lipid species and CAC remains unclear. The aim of this study was to identify disturbances in lipid profiles involved in the calcification process, in an attempt to propose potential biomarker candidates.

Patients and methods: We studied 70 patients at intermediate risk for coronary artery disease who had undergone coronary calcification assessment using computed tomography and Agatston coronary artery calcium score (CACS). Patients were divided into three groups: with no coronary calcification (NCC; CACS: 0; n=26), mild coronary calcification (MCC; CACS: 1-250; n=27), or severe coronary calcification (SCC; CACS: >250; n=17). Patients' serum samples were analyzed using liquid chromatography-mass spectrometry in an untargeted lipidomics approach.

Results: We identified 103 lipids within the glycerolipid, glycerophospholipid, sphingolipid, and sterol lipid classes. After false discovery rate correction, phosphatidylcholine (PC)(16:0/20:4) in higher levels and PC(18:2/18:2), PC(36:3), and phosphatidylethanolamine(20:0/18:2) in lower levels were identified as correlates with SCC compared to NCC. There were no significant differences in the levels of individual TGs between the three groups; however, clustering the lipid profiles showed a trend for higher levels of saturated and monounsaturated TGs in SCC compared to NCC. There was also a trend for lower TG (49:2), TG(51:1), TG(54:5), and TG(56:8) levels in SCC compared to MCC.

Conclusion: In this study we investigated the lipidome of patients with coronary calcification. Our results suggest that the calcification process may be associated with dysfunction in autophagy. The lipidomic biomarkers revealed in this study may aid in better assessment of patients with subclinical coronary artery disease.

Background: Low socioeconomic status is associated with an increased risk of coronary artery disease, but few studies have investigated the potential link between living in an area with a low versus a high socioeconomic status and coronary artery calcification, a marker of subclinical coronary artery disease. Design The design of this study was a cross-sectional study. Methods We evaluated 1067 participants with no history of coronary artery disease from the pilot phase of the Swedish CArdioPulmonary bioImage Study (SCAPIS). Men and women aged 50-64 years were recruited from three high-socioeconomic status ( n = 541) and three low-socioeconomic status ( n = 526) areas in the city of Gothenburg (550,000 inhabitants). The coronary artery calcification score was assessed with the Agatston method using computed tomography, with individuals classified into either no coronary calcification ( n = 625; mean age, 57 years) or any coronary artery calcification ( n = 442; mean age, 59 years (men, 68.5%)). Results Coronary artery calcification was present in 244 (46.3%) and 198 (36.6%) individuals from the low- and high-socioeconomic status areas, respectively. Participants from the low-socioeconomic status areas had a significantly higher risk factor burden. In a multivariable logistic regression model with adjustment for age, sex and cardiovascular risk factors, the odds for coronary artery calcification were not significantly higher among persons living in low-socioeconomic status areas (odds ratio = 1.18, 95% confidence interval = 0.87-1.60). Conclusion In this relatively small cross-sectional study, we observed an association between living in a low-socioeconomic status area and coronary artery calcification. However, this was mostly explained by higher levels of cardiovascular disease risk factors, indicating that the effect of socioeconomic status on the atherosclerotic process works through an increased burden of cardiovascular disease risk factors.

Social support has been associated with coronary artery disease (CAD), particularly in individuals who have sustained a cardiovascular event. This study investigated the relationship between social support and subclinical CAD among 1067 healthy middle-aged men and women. Social support was assessed with validated social integration and emotional attachment measures. Subclinical CAD was assessed as a coronary artery calcium score (CACS) using computed tomography. There was no association between social support and CACS in men. In women, low social support was strongly linked to cardiovascular risk factors, high levels of inflammatory markers, and CACS > 0. In a logistic regression model, after adjustment for 12 cardiovascular risk factors, the odds ratio (95% confidence intervals) for CACS > 0 in women with the lowest social integration, emotional attachment, and social support groups (reference: highest corresponding group) were 2.47 (1.23-5.12), 1.87 (0.93-3.59), and 4.28 (1.52-12.28), respectively. Using a machine learning approach (random forest), social integration was the fourth (out of 12) most important risk factor for CACS > 0 in women. Women with lower compared to higher or moderate social integration levels were about 14 years older in "vascular age". This study showed an association between lack of social support and subclinical CAD in middle-aged women, but not in men. Lack of social support may affect the atherosclerotic process and identify individuals vulnerable to CAD events.